A short note on the maximal point‐biserial correlation under non‐normality |
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Authors: | Ying Cheng Haiyan Liu |
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Affiliation: | Department of Psychology, University of Notre Dame, Indiana, USA |
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Abstract: | The aim of this paper is to derive the maximal point‐biserial correlation under non‐normality. Several widely used non‐normal distributions are considered, namely the uniform distribution, t‐distribution, exponential distribution, and a mixture of two normal distributions. Results show that the maximal point‐biserial correlation, depending on the non‐normal continuous variable underlying the binary manifest variable, may not be a function of p (the probability that the dichotomous variable takes the value 1), can be symmetric or non‐symmetric around p = .5, and may still lie in the range from ?1.0 to 1.0. Therefore researchers should exercise caution when they interpret their sample point‐biserial correlation coefficients based on popular beliefs that the maximal point‐biserial correlation is always smaller than 1, and that the size of the correlation is always further restricted as p deviates from .5. |
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Keywords: | point‐biserial correlation maximal point‐biserial correlation non‐normality |
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